Summary
Joseph Palmer is an AI Engineer based in London with nine years' experience applying machine learning, NLP and statistical modelling to turn research-grade ideas into production-ready systems. He combines a strong academic foundation—a PhD in Computational Biology and MScs in computational methods and population genetics—with hands-on roles building data pipelines, R packages and AI products at institutions like The Alan Turing Institute, Dyad and Covecta. Joseph’s work spans the intersection of mathematical modelling, data analytics and software engineering, and he has a demonstrated appetite for scalable solutions informed by mechanistic models of complex systems (including published work on animal movement and collective behaviour). Known for quickly picking up new skills, he brings research rigor to product development and has shipped reproducible tools for public-health and scientific use.
9 years of coding experience
4 years of employment as a software developer
PhD, Computational Biology, PhD, Computational Biology at Royal Holloway, University of London
Master of Science - MSc, Computational Methods in Ecology and Evolution, Master of Science - MSc, Computational Methods in Ecology and Evolution at Imperial College London
Master of research (MRes), Population Genetics, Master of research (MRes), Population Genetics at The University of Sheffield